Deployment of YOLOv8 on OAK-D-Lite: A practical guide to deploying a fine-tuned YOLOv8 model on the OAK-D-Lite edge AI device for real-time pothole detection.
The article covers model conversion, device setup, and running inferences, aimed at improving road safety with efficient, embedded computer vision technology.
https://lnkd.in/gUP_sTkt#yolov8#oakd#pothole#yolomodel#computervision#ai#objectdetection
30K+|🤖 Radically improving how we build software and understand systems. Startup Research & Development Innovation | Crafting AI -Driven Solutions for Smart World | GCP , AWS , Intel AI & IBM AI PM .Certified NVIDIA.
Ever wondered how you can harness the power of AI in solving real-world challenges?
Below is an example of utilising AI, computer vision and a camera feed to obtain traffic data.
How is this done otherwise without AI and computer vision? The existing technology relied on a technology called inductive loops which require the installation of wiring within the road pavement along with other hardware.
#ITS#ComputerVisio#GhostAnalyticsAU#TrafficAnalysis
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Today's topics:
-Data Race in AI Development
-Command R+ for Enterprise AI
-Invisible AI and Efficiency
-Voice Commands in Devices
-AI's Impact on Professional Go
-LLocalSearch: AI-Powered Information Access
-AI's Environmental Impact
-DALL-E 3: Trust in AI Art
-AMD Open Sources GPU Firmware
-xAI's Funding Round
-Nvidia Leads in AI Hardware
-Qwen1.5 Language Model Series
-Top 100 AI Tools for Work
#ai#news
🌟 New Milestone Achieved: Enhancing YOLOv8 with TFLite Model Inference! 🌟
Excited to share my first Pull Request to the YOLOv8 (Ultralytics) repository, introducing a game-changing enhancement for TFLite model inference tailored for embedded systems in AI and computer vision. This contribution aims to address and solve community issues related to TFLite deployments, enhancing the flexibility and efficiency of YOLOv8 applications on the edge.
Let's connect or start a conversation below to discuss the potential of this technology. #OpenSource#YOLOv8#TFLite#MachineLearning#ComputerVision#EdgeComputing#AI#Microcontrollers#Innovation#objectdetection
Check out the repository for more information. https://lnkd.in/dTsUFsV2
Faceform, the developer behind Wrap4D, has introduced its latest breakthrough: the Faceform Neural Profile. This neural network can analyze hours of facial performance using only two images from head-mounted cameras.
While Wrap4D's motion processing pipeline delivers precise results, it requires significant computational resources and is limited in processing duration.
However, the Faceform Neural Profile enables users to achieve comparable outcomes with far less computational overhead, facilitating the processing of hours of facial performance overnight.
Read this article to learn more! https://lnkd.in/dbrXPxrB#Faceform#Wrap4D#NeuralProfile#FacialPerformanceTracking#MotionProcessing#Automation
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Register now for Research Forum on September 3 to hear about the development of a new kind of computer—an analog optical computer—that has the potential to accelerate AI inference and hard optimization workloads by 100x to improve application efficiency. https://msft.it/6041lUh2U
30K+|🤖 Radically improving how we build software and understand systems. Startup Research & Development Innovation | Crafting AI -Driven Solutions for Smart World | GCP , AWS , Intel AI & IBM AI PM .Certified NVIDIA.
2moGreat advice! I am updated device checked